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Computer Vision

TransPixar: Advancing Text-to-Video Generation with Transparency
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AI Generated πŸ€— Daily Papers Computer Vision Video Understanding 🏒 Adobe Research
TransPixar: μ œν•œλœ λ°μ΄ν„°λ‘œλ„ κ³ ν’ˆμ§ˆ 투λͺ… λΉ„λ””μ˜€ 생성
Through-The-Mask: Mask-based Motion Trajectories for Image-to-Video Generation
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AI Generated πŸ€— Daily Papers Computer Vision Image Generation 🏒 Meta
마슀크 기반 λͺ¨μ…˜ 경둜λ₯Ό μ΄μš©ν•œ 2단계 이미지-λΉ„λ””μ˜€ 생성 ν”„λ ˆμž„μ›Œν¬μΈ THROUGH-THE-MASKκ°€ 닀쀑 객체의 μ •ν™•ν•œ μ• λ‹ˆλ©”μ΄μ…˜μ„ κ°€λŠ₯ν•˜κ²Œ ν•©λ‹ˆλ‹€.
STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution
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AI Generated πŸ€— Daily Papers Computer Vision Video Understanding 🏒 Nanjing University
STAR: T2V λͺ¨λΈ 기반 싀세계 λΉ„λ””μ˜€ μ΄ˆκ³ ν•΄μƒλ„ 기술둜 ν˜„μ‹€μ μΈ 곡간적 μ„ΈλΆ€ 정보와 κ²¬κ³ ν•œ μ‹œκ°„μ  일관성을 달성!
GS-DiT: Advancing Video Generation with Pseudo 4D Gaussian Fields through Efficient Dense 3D Point Tracking
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AI Generated πŸ€— Daily Papers Computer Vision Video Understanding 🏒 Multimedia Laboratory, the Chinese University of Hong Kong
GS-DiT: 효율적인 3D 점 μΆ”μ μœΌλ‘œ μ˜μ‚¬ 4D κ°€μš°μŠ€ ν•„λ“œλ₯Ό ν™œμš©, 4D λΉ„λ””μ˜€ μ œμ–΄ κ°€λŠ₯ν•œ ν˜μ‹ μ  λΉ„λ””μ˜€ 생성 λͺ¨λΈ
DepthMaster: Taming Diffusion Models for Monocular Depth Estimation
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AI Generated πŸ€— Daily Papers Computer Vision 3D Vision 🏒 University of Science and Technology of China (USTC)
DepthMasterλŠ” 단일 단계 ν™•μ‚° λͺ¨λΈμ„ 이용, 생성적 νŠΉμ§•μ„ ν™œμš©ν•˜μ—¬ λͺ¨λ…Έν˜λŸ¬ 깊이 μΆ”μ •μ˜ 정확도와 속도λ₯Ό 획기적으둜 ν–₯μƒμ‹œμΌ°μŠ΅λ‹ˆλ‹€.
Ingredients: Blending Custom Photos with Video Diffusion Transformers
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AI Generated πŸ€— Daily Papers Computer Vision Video Understanding 🏒 Kunlun Inc.
κ³ ν’ˆμ§ˆ 닀쀑 ID λ§žμΆ€ν˜• λΉ„λ””μ˜€ 생성을 μœ„ν•œ ν˜μ‹ μ μΈ ν”„λ ˆμž„μ›Œν¬, Ingredients μ†Œκ°œ!
VideoAnydoor: High-fidelity Video Object Insertion with Precise Motion Control
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AI Generated πŸ€— Daily Papers Computer Vision Video Understanding 🏒 Hong Kong University of Science and Technology
VideoAnydoor: μ •λ°€ν•œ λͺ¨μ…˜ μ œμ–΄λ₯Ό κ°–μΆ˜ κ³ ν’ˆμ§ˆ μ˜μƒ 객체 μ‚½μž…
SeFAR: Semi-supervised Fine-grained Action Recognition with Temporal Perturbation and Learning Stabilization
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AI Generated πŸ€— Daily Papers Computer Vision Action Recognition 🏒 Unmanned System Research Institute, Northwestern Polytechnical University
SeFAR: μ œν•œλœ λ°μ΄ν„°λ‘œλ„ μ •λ°€ λ™μž‘ μΈμ‹μ˜ μ„±λŠ₯을 획기적으둜 ν–₯μƒμ‹œν‚€λŠ” μƒˆλ‘œμš΄ μ„Έλ―Έ-μŠˆνΌλ°”μ΄μ¦ˆλ“œ ν•™μŠ΅ ν”„λ ˆμž„μ›Œν¬!
SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration
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AI Generated πŸ€— Daily Papers Computer Vision Video Understanding 🏒 Nanyang Technological University
SeedVR: λ¬΄ν•œν•œ ν™•μ‚° 트랜슀포머둜 일반적인 λΉ„λ””μ˜€ 볡원 ν–₯상
Reconstruction vs. Generation: Taming Optimization Dilemma in Latent Diffusion Models
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AI Generated πŸ€— Daily Papers Computer Vision Image Generation 🏒 Huazhong University of Science and Technology
고차원 잠재 κ³΅κ°„μ—μ„œμ˜ μ΅œμ ν™” λ”œλ ˆλ§ˆλ₯Ό ν•΄κ²°ν•˜λŠ” VA-VAEλ₯Ό 톡해, 고해상도 이미지 μƒμ„±μ—μ„œ μ΅œμ²¨λ‹¨ μ„±λŠ₯을 달성!
Nested Attention: Semantic-aware Attention Values for Concept Personalization
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AI Generated πŸ€— Daily Papers Computer Vision Image Generation 🏒 Tel Aviv University
쀑첩 주의 λ©”μ»€λ‹ˆμ¦˜μ„ μ‚¬μš©ν•˜μ—¬ ν…μŠ€νŠΈ-이미지 λͺ¨λΈμ˜ κ°œμΈν™” μ„±λŠ₯을 ν–₯μƒμ‹œν‚¨ Nested Attention 기법 μ œμ‹œ!
MLLM-as-a-Judge for Image Safety without Human Labeling
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AI Generated πŸ€— Daily Papers Computer Vision Image Generation 🏒 Meta AI
인간 라벨링 없이 사전 μ •μ˜λœ μ•ˆμ „ κ·œμΉ™μ„ μ‚¬μš©ν•˜μ—¬ 사전 ν›ˆλ ¨λœ 닀쀑 λͺ¨λ‹¬ λŒ€ν˜• μ–Έμ–΄ λͺ¨λΈ(MLLM)을 톡해 이미지 μ•ˆμ „μ„±μ„ νŒλ‹¨ν•˜λŠ” μƒˆλ‘œμš΄ μ œλ‘œμƒ· 방법을 μ œμ‹œν•©λ‹ˆλ‹€.
VMix: Improving Text-to-Image Diffusion Model with Cross-Attention Mixing Control
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AI Generated πŸ€— Daily Papers Computer Vision Image Generation 🏒 ByteDance Inc
VMix: 크둜슀 μ–΄ν…μ…˜ λ―Ήμ‹± μ œμ–΄λ₯Ό ν†΅ν•œ ν…μŠ€νŠΈ-이미지 ν™•μ‚° λͺ¨λΈ κ°œμ„ 
Slow Perception: Let's Perceive Geometric Figures Step-by-step
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AI Generated πŸ€— Daily Papers Computer Vision Visual Question Answering 🏒 Stepfun
느린 지각(Slow Perception): 단계별 κΈ°ν•˜ν•™μ  λ„ν˜• μΈμ‹μœΌλ‘œ 정확도 ν–₯상
LTX-Video: Realtime Video Latent Diffusion
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AI Generated πŸ€— Daily Papers Computer Vision Video Understanding 🏒 Lightricks
LTX-Video: μ΄ˆκ³ μ† μ‹€μ‹œκ°„ 고해상도 λΉ„λ””μ˜€ 생성 λͺ¨λΈ
Edicho: Consistent Image Editing in the Wild
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AI Generated πŸ€— Daily Papers Computer Vision Image Generation 🏒 Hong Kong University of Science and Technology
Edicho: 이미지 κ°„ 일관성 μœ μ§€ν•˜λ©° μ œλ‘œμƒ· 이미지 νŽΈμ§‘ κ°€λŠ₯!
Bringing Objects to Life: 4D generation from 3D objects
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AI Generated πŸ€— Daily Papers Computer Vision Image Generation 🏒 NVIDIA
3to4D: ν…μŠ€νŠΈ ν”„λ‘¬ν”„νŠΈλ‘œ μ‚¬μš©μž 제곡 3D 객체λ₯Ό μ‹€κ°λ‚˜κ²Œ μ• λ‹ˆλ©”μ΄μ…˜ν™”!
On the Compositional Generalization of Multimodal LLMs for Medical Imaging
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AI Generated πŸ€— Daily Papers Computer Vision Visual Question Answering 🏒 Chinese University of Hong Kong, Shenzhen
의료 μ˜μƒμ— λŒ€ν•œ 닀쀑 λͺ¨λ“œ κ±°λŒ€ μ–Έμ–΄ λͺ¨λΈμ˜ μΌλ°˜ν™” λŠ₯λ ₯ ν–₯상에 ꡬ성적 μΌλ°˜ν™”(CG)κ°€ 핡심 역할을 μˆ˜ν–‰ν•˜λ©°, μ œν•œλœ λ°μ΄ν„°μ—μ„œλ„ νš¨κ³Όμ μž„μ„ 밝힘.
VideoMaker: Zero-shot Customized Video Generation with the Inherent Force of Video Diffusion Models
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AI Generated πŸ€— Daily Papers Computer Vision Image Generation 🏒 Tencent AI Lab
VideoMaker: μ˜μƒ ν™•μ‚° λͺ¨λΈμ˜ κ³ μœ ν•œ νž˜μ„ μ΄μš©ν•œ μ œλ‘œμƒ· λ§žμΆ€ν˜• μ˜μƒ 생성
PartGen: Part-level 3D Generation and Reconstruction with Multi-View Diffusion Models
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AI Generated πŸ€— Daily Papers Computer Vision 3D Vision 🏒 Meta AI
PartGen: 닀쀑 λ·° ν™•μ‚° λͺ¨λΈμ„ 이용, ν…μŠ€νŠΈ, 이미지, κΈ°μ‘΄ 3D κ°μ²΄λ‘œλΆ€ν„° μ˜λ―ΈμžˆλŠ” λΆ€λΆ„μœΌλ‘œ κ΅¬μ„±λœ κ³ ν’ˆμ§ˆ 3D 객체 생성 및 μž¬κ΅¬μ„±.